55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from dotenv import load_dotenv
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load_dotenv() # take environment variables from .env.
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import os
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import glob
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import json
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from pathlib import Path
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from interpreter import OpenInterpreter
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from .system_message import system_message
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def configure_interpreter(interpreter: OpenInterpreter):
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### SYSTEM MESSAGE
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interpreter.system_message = system_message
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### LLM SETTINGS
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# Local settings
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# interpreter.llm.model = "local"
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# interpreter.llm.api_base = "https://localhost:8080/v1" # Llamafile default
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# interpreter.llm.max_tokens = 1000
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# interpreter.llm.context_window = 3000
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# Hosted settings
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interpreter.llm.api_key = os.getenv('OPENAI_API_KEY')
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interpreter.llm.model = "gpt-4"
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### MISC SETTINGS
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interpreter.auto_run = True
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interpreter.computer.languages = [l for l in interpreter.computer.languages if l.name.lower() == "python"]
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interpreter.force_task_completion = True
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interpreter.offline = True
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interpreter.id = 206 # Used to identify itself to other interpreters. This should be changed programatically so it's unique.
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### RESET conversations/user.json
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script_dir = os.path.dirname(os.path.abspath(__file__))
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user_json_path = os.path.join(script_dir, 'conversations', 'user.json')
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with open(user_json_path, 'w') as file:
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json.dump([], file)
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### SKILLS
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try:
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interpreter.computer.skills.skills_dir = Path(__file__).parent / 'skills'
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interpreter.computer.skills.import_skills()
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except:
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print("Temporarily skipping skills (OI 0.2.1, which is unreleased) so we can push to `pip`.")
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pass
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interpreter.computer.api_base = "https://oi-video-frame.vercel.app/"
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interpreter.computer.run("python","print('test')")
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return interpreter |